Staff AI Engineer

🕒 March 3

⛰️ Colorado, North Carolina – Remote

⛰️ Colorado – Remote 🌲 North Carolina – Remote

💵 $190k - $225k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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TIFIN

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

Founded in 2018, TIFIN is an AI and innovation platform for better wealth outcomes. Founded by Dr. Vinay Nair, TIFIN creates and operates new companies that apply data science, AI, and technology to address frictions in wealth and asset management. TIFIN’s companies have included 55ip (sold to JP Morgan) and currently include Paralel, Magnifi, TIFIN Wealth, TIFIN Give, TIFIN AG, TIFIN AMP, Sage, Helix, TIFIN@Work, and TIFIN India. TIFIN has been backed by JP Morgan, Morningstar, Hamilton Lane, Franklin Templeton, Motive Partners, and Broadridge among others.

📋 Description

• Design and implement production-grade multi-agent systems using modern agent frameworks (e.g., Pydantic AI, Agent Harness, Tool-Calling, Code Execution) • Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and compliance checks • Develop distributed services for agent execution with strong observability, monitoring, and failure handling • Establish evaluation frameworks for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness • Implement memory management, context handling, and agent state persistence strategies • Partner with product, design, and engineering teams to translate business requirements into robust agent architectures • Optimize systems for latency, cost efficiency, and reliability in production • Contribute to infrastructure decisions around model serving, vector databases, caching, and orchestration layers

🎯 Requirements

• 3+ years of experience building and shipping Generative AI and LLM applications into production • 6+ years of ML experience • Demonstrated experience designing and deploying multi-agent systems of various architecture • Strong experience with multimodal LLMs, knowledge graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory • Deep proficiency in Python and modern AI frameworks • Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments • Experience implementing monitoring, evaluation, and reliability safeguards for AI systems • Strong systems thinking — ability to design beyond single-model solutions toward coordinated, multi-component architectures • Resilience and adaptability - experience working at early-stage startups is a plus

🏖️ Benefits

• Comprehensive health, dental and vision coverage • Retirement benefits • Flexible PTO • Meaningful equity stake in overall package